package com.yupi.aicodehelper.ai;

import com.yupi.aicodehelper.ai.tools.InterviewQuestionTool;
import dev.langchain4j.mcp.McpToolProvider;
import dev.langchain4j.memory.ChatMemory;
import dev.langchain4j.memory.chat.MessageWindowChatMemory;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.rag.content.retriever.ContentRetriever;
import dev.langchain4j.service.AiServices;
import jakarta.annotation.Resource;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class AiCodeHelperServiceFactory {
    @Resource
    private ChatModel myQwenChatModel;

    @Resource
    private ContentRetriever contentRetriever;

    @Resource
    private McpToolProvider mcpToolProvider;

    @Resource
    private StreamingChatModel qwenStreamingChatModel;
    @Bean
    public AiCodeHelperService aiCodeHelperService(){
        //会话记忆，支持区分用户，每个用户最多保存10条记录
        ChatMemory chatMemory = MessageWindowChatMemory.withMaxMessages(10);
        //构造AI Service
        AiCodeHelperService aiCodeHelperService = AiServices.builder(AiCodeHelperService.class)
                .chatModel(myQwenChatModel)
                .streamingChatModel(qwenStreamingChatModel)
                .chatMemory(chatMemory) //会话记忆
                .chatMemoryProvider(memoryId -> MessageWindowChatMemory.withMaxMessages(10)) //每个会话独立存储
                .contentRetriever(contentRetriever) //RAG检索增强生成
                .tools(new InterviewQuestionTool()) //工具调用
                .toolProvider(mcpToolProvider) //mcp工具调用
                .build();
        return aiCodeHelperService;
    }
}
